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ORCIDNicolas Le Bihan
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- affiliation: CNRS, gipsa-lab, Saint Martin d'Hères, France
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2020 – today
- 2024
[c37]Nicolas Le Bihan, Julien Flamant, Pierre-Olivier Amblard:
The Geometric Phase of Bivariate Signals. EUSIPCO 2024: 2562-2566- 2023
- [j22]Rosa M. Fernández-Alcalá
, José D. Jiménez-López, Nicolas Le Bihan, Clive Cheong Took:
An Optimal Linear Fusion Estimation Algorithm of Reduced Dimension for T-Proper Systems with Multiple Packet Dropouts. Sensors 23(8): 4047 (2023) - [j21]Sebastian Miron, Julien Flamant, Nicolas Le Bihan, Pierre Chainais, David Brie:
Quaternions in Signal and Image Processing: A comprehensive and objective overview. IEEE Signal Process. Mag. 40(6): 26-40 (2023) - [c36]Sébastien Journé, Nicolas Le Bihan, Florent Chatelain, Julien Flamant:
Polarized Signal Singular Spectrum Analysis with Complex SSA. ICASSP 2023: 1-5 - 2022
- [c35]Cyril Cano, Éric Chassande-Mottin, Nicolas Le Bihan:
Fast and Accurate Gravitational-Wave Modelling with Principal Component Regression. EUSIPCO 2022: 1531-1535 - 2021
- [c34]Salem Said, Nicolas Le Bihan, Jonathan H. Manton:
From Bayesian Inference to MCMC and Convex Optimisation in Hadamard Manifolds. GSI 2021: 3-11 - [c33]Romain Couillet, Florent Chatelain, Nicolas Le Bihan:
Two-way kernel matrix puncturing: towards resource-efficient PCA and spectral clustering. ICML 2021: 2156-2165 - [i5]Romain Couillet, Florent Chatelain, Nicolas Le Bihan:
Two-way kernel matrix puncturing: towards resource-efficient PCA and spectral clustering. CoRR abs/2102.12293 (2021) - 2020
- [c32]Jeanne Lefevre, Jonathan H. Manton, Nicolas Le Bihan:
An optimisation geometry framework for the Rayleigh quotient. EUSIPCO 2020: 955-959 - [c31]Tayeb Zarrouk, Romain Couillet, Florent Chatelain, Nicolas Le Bihan:
Performance-Complexity Trade-Off in Large Dimensional Statistics. MLSP 2020: 1-6
2010 – 2019
- 2019
- [c30]Rosa M. Fernández-Alcalá, José D. Jiménez-López, Jesús Navarro-Moreno, Juan Carlos Ruiz-Molina, Nicolas Le Bihan:
Estimation of Widely Factorizable Hypercomplex Signals with Uncertain Observations. ICASSP 2019: 8504-8508 - [c29]Florent Chatelain, Nicolas Le Bihan:
Exact Distribution and High-dimensional Asymptotics for Improperness Test of Complex Signals. ICASSP 2019: 8509-8513 - [c28]François Cayre, Nicolas Le Bihan:
Complexity and Similarity for Sequences using LZ77-based conditional information measure. ISIT 2019: 2454-2458 - 2018
- [j20]Julien Flamant, Pierre Chainais, Nicolas Le Bihan:
A Complete Framework for Linear Filtering of Bivariate Signals. IEEE Trans. Signal Process. 66(17): 4541-4552 (2018) - [c27]Julien Flamant, Pierre Chainais, Éric Chassande-Mottin, Fangchen Feng, Nicolas Le Bihan:
Non-parametric characterization of gravitational-wave polarizations. EUSIPCO 2018: 2658-2662 - [c26]Jeanne Lefevre, Nicolas Le Bihan, Pierre-Olivier Amblard:
A Geometrical Study of the Bivariate Fractional Gaussian Noise. SSP 2018: 144-148 - [c25]Julien Flamant, Pierre Chainais, Nicolas Le Bihan:
Linear Filtering of Bivariate Signals Using Quaternions. SSP 2018: 154-158 - 2017
- [j19]Nicolas Le Bihan:
Foreword to the special issue "Hypercomplex Signal Processing". Signal Process. 136: 1 (2017) - [j18]Nicolas Le Bihan:
The geometry of proper quaternion random variables. Signal Process. 138: 106-116 (2017) - [j17]Julien Flamant, Nicolas Le Bihan, Pierre Chainais:
Spectral Analysis of Stationary Random Bivariate Signals. IEEE Trans. Signal Process. 65(23): 6135-6145 (2017) - [c24]Marion Revolle, François Cayre, Nicolas Le Bihan:
Clustering and causality inference using algorithmic complexity. EUSIPCO 2017: 843-847 - [c23]Florent Chatelain, Nicolas Le Bihan, Jonathan H. Manton:
Density Estimation for Compound Cox Processes on Hyperspheres. GSI 2017: 684-691 - [c22]Salem Said, Nicolas Le Bihan, Jonathan H. Manton:
Riemannian Gaussian Distributions on the Space of Positive-Definite Quaternion Matrices. GSI 2017: 709-716 - [c21]Julien Flamant, Pierre Chainais, Nicolas Le Bihan:
Polarization spectrogram of bivariate signals. ICASSP 2017: 3989-3993 - [c20]Jonathan H. Manton, Nicolas Le Bihan:
On some global topological aspects of manifold learning. ICIP 2017: 225-229 - 2016
- [j16]Jérémie Boulanger, Salem Said, Nicolas Le Bihan, Jonathan H. Manton:
Filtering from observations on Stiefel manifolds. Signal Process. 122: 52-64 (2016) - [j15]Nicolas Le Bihan, Florent Chatelain, Jonathan H. Manton:
Isotropic Multiple Scattering Processes on Hyperspheres. IEEE Trans. Inf. Theory 62(10): 5740-5752 (2016) - [c19]Julien Flamand, Nicolas Le Bihan, Andrew V. Martin, Jonathan H. Manton:
Low-resolution reconstruction of intensity functions on the sphere for single-particle diffraction imaging. ICASSP 2016: 664-668 - [i4]Marion Revolle, François Cayre, Nicolas Le Bihan:
SALZA: Soft algorithmic complexity estimates for clustering and causality inference. CoRR abs/1607.05144 (2016) - 2015
- [c18]Roghieh Skandari, Nicolas Le Bihan, Jonathan H. Manton:
C. elegans locomotion analysis using algorithmic information theory. EMBC 2015: 6485-6488 - [c17]Florent Chatelain, Nicolas Le Bihan, Jonathan H. Manton:
Parameter estimation for multiple scattering process on the sphere. ICASSP 2015: 3976-3980 - 2014
- [j14]Nicolas Le Bihan, Stephen J. Sangwine, Todd A. Ell:
Instantaneous frequency and amplitude of orthocomplex modulated signals based on quaternion Fourier transform. Signal Process. 94: 308-318 (2014) - [c16]Jérémie Boulanger, Nicolas Le Bihan, Salem Said, Jonathan H. Manton:
Monte-carlo estimation from observation on stiefel manifold. ICASSP 2014: 4195-4199 - [i3]Nicolas Le Bihan, Florent Chatelain, Jonathan H. Manton:
Isotropic Multiple Scattering Processes on Hyperspheres. CoRR abs/1408.2887 (2014) - [i2]Jérémie Boulanger, Salem Said, Nicolas Le Bihan, Jonathan H. Manton:
Filtering from Observations on Stiefel Manifolds. CoRR abs/1409.7442 (2014) - 2013
- [j13]Jonathan H. Manton, David Applebaum, Shiro Ikeda, Nicolas Le Bihan:
Introduction to the issue on differential geometry in signal processing. IEEE J. Sel. Top. Signal Process. 7(4): 573-575 (2013) - [c15]Florent Chatelain, Nicolas Le Bihan:
Von Mises-Fisher approximation of multiple scattering process on the hypersphere. ICASSP 2013: 6461-6465 - 2012
- [j12]Manuel Hobiger, Nicolas Le Bihan, Cécile Cornou, Pierre-Yves Bard:
Multicomponent Signal Processing for Rayleigh Wave Ellipticity Estimation : Application to Seismic Hazard Assessment. IEEE Signal Process. Mag. 29(3): 29-39 (2012) - [c14]Jérémie Boulanger, Nicolas Le Bihan, Jonathan H. Manton:
Wiener filtering of rotation processes using ordered exponential. SSP 2012: 61-64 - 2011
- [b1]Nicolas Le Bihan:
Contributions au traitement des signaux à valeurs sur des structures algébriques non-commutatives. Grenoble Alpes University, France, 2011 - [c13]Soroush Javidi, Clive Cheong Took, Cyrus Jahanchahi, Nicolas Le Bihan, Danilo P. Mandic:
Blind extraction of improper quaternion sources. ICASSP 2011: 3708-3711 - 2010
- [j11]Giovanni M. Menanno, Nicolas Le Bihan:
Quaternion polynomial matrix diagonalization for the separation of polarized convolutive mixture. Signal Process. 90(7): 2219-2231 (2010) - [j10]Salem Said, Christian Lageman, Nicolas Le Bihan, Jonathan H. Manton:
Decompounding on compact lie groups. IEEE Trans. Inf. Theory 56(6): 2766-2777 (2010)
2000 – 2009
- 2009
- [c12]Manuel Hobiger, Nicolas Le Bihan, Cécile Cornou, Pierre-Yves Bard:
Rayleigh wave ellipticity estimation from ambient seismic noise using single and multiple vector-sensor techniques. EUSIPCO 2009: 2037-2041 - [c11]Salem Said, Nicolas Le Bihan, Christian Lageman, Jonathan H. Manton:
Nonparametric estimation for compound poisson processes on compact Lie groups. ICASSP 2009: 3409-3412 - [i1]Salem Said, Christian Lageman, Nicolas Le Bihan, Jonathan H. Manton:
Decompounding on compact Lie groups. CoRR abs/0907.2601 (2009) - 2008
- [j9]Sven Buchholz, Nicolas Le Bihan:
Polarized Signal Classification by Complex and quaternionic Multi-Layer Perceptrons. Int. J. Neural Syst. 18(2): 75-85 (2008) - [j8]Salem Said, Nicolas Le Bihan, Stephen J. Sangwine:
Fast Complexified Quaternion Fourier Transform. IEEE Trans. Signal Process. 56(4): 1522-1531 (2008) - [c10]Nicolas Le Bihan, Stephen J. Sangwine:
The ℍ-analytic signal. EUSIPCO 2008: 1-5 - 2007
- [j7]Nicolas Le Bihan, Stephen J. Sangwine:
Jacobi method for quaternion matrix singular value decomposition. Appl. Math. Comput. 187(2): 1265-1271 (2007) - [j6]Nicolas Le Bihan, Sebastian Miron, Jérôme I. Mars:
MUSIC Algorithm for Vector-Sensors Array Using Biquaternions. IEEE Trans. Signal Process. 55(9): 4523-4533 (2007) - [c9]Stephen J. Sangwine, Nicolas Le Bihan:
Hypercomplex analytic signals : Extension of the analytic signal concept to complex signals. EUSIPCO 2007: 621-624 - [c8]Salem Said, Nicolas Courty, Nicolas Le Bihan, Stephen J. Sangwine:
Exact Principal Geodesic Analysis for data on SO(3). EUSIPCO 2007: 1701-1705 - 2006
- [j5]Stephen J. Sangwine, Nicolas Le Bihan:
Quaternion singular value decomposition based on bidiagonalization to a real or complex matrix using quaternion Householder transformations. Appl. Math. Comput. 182(1): 727-738 (2006) - [j4]Sebastian Miron, Nicolas Le Bihan, Jérôme I. Mars:
Quaternion-MUSIC for vector-sensor array processing. IEEE Trans. Signal Process. 54(4): 1218-1229 (2006) - [c7]Sven Buchholz, Nicolas Le Bihan:
Optimal separation of polarized signals by quaternionic neural networks. EUSIPCO 2006: 1-5 - [c6]Sebastian Miron, Nicolas Le Bihan, Jérôme I. Mars:
High Resolution Vector-Sensor Array Processing Based on Biquaternions. ICASSP (4) 2006: 1077-1080 - 2005
- [j3]Sebastian Miron, Nicolas Le Bihan, Jérôme I. Mars:
Vector-Sensor MUSIC for Polarized Seismic Sources Localization. EURASIP J. Adv. Signal Process. 2005(1): 74-84 (2005) - 2004
- [j2]Nicolas Le Bihan, Guillaume Ginolhac:
Three-mode data set analysis using higher order subspace method: application to sonar and seismo-acoustic signal processing. Signal Process. 84(5): 919-942 (2004) - [j1]Nicolas Le Bihan, Jérôme I. Mars:
Singular value decomposition of quaternion matrices: a new tool for vector-sensor signal processing. Signal Process. 84(7): 1177-1199 (2004) - [c5]Sebastian Miron, Nicolas Le Bihan, Jérôme I. Mars:
Polarized source characterization using vector-music. EUSIPCO 2004: 421-424 - 2003
- [c4]Patrick Bas, Nicolas Le Bihan, Jean-Marc Chassery:
Color image watermarking using quaternion Fourier transform. ICASSP (3) 2003: 521-524 - [c3]Nicolas Le Bihan, Stephen J. Sangwine:
Quaternion principal component analysis of color images. ICIP (1) 2003: 809-812 - 2002
- [c2]Nicolas Le Bihan, Jérôme I. Mars:
Quaternion subspace method for vector-sensor wave separation. EUSIPCO 2002: 1-4 - 2000
- [c1]Nicolas Le Bihan, Jérôme I. Mars:
Blind wave separation using vector-sensors. ICASSP 2000: 2314-2317
Coauthor Index
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